Speechmatics Tech Stack

Speech-to-text and AI voice analytics platform processing 300 years of transcription monthly

Software Development Cambridge 51–200 employees Founded 2006 Privately Held

Speechmatics operates a production speech recognition and voice AI platform with deep infrastructure across AWS, GCP, and Azure, backed by TensorFlow and PyTorch. The tech stack and project list reveal active work on scaling GPU-bound ML models, optimizing real-time latency, and expanding into emotive text-to-speech—while pain points around data quality, incident frequency, and model reliability suggest a company hitting performance ceilings as volume grows. Engineering-heavy hiring (17 of 25 active roles) and mid-to-senior distribution point to consolidation of core capabilities rather than broad expansion.

Tech Stack 40 technologies

Core StackLinux JavaScript Nginx Ansible Docker Python AWS Kubernetes Helm Terraform Datadog ArgoCD GitLab OpenTelemetry PostgreSQL TensorFlow PyTorch Power Query Power BI Flash Attention REST API HTML Azure Ubuntu Bash curl GCP GitOps SQL Excel+10 more

What Speechmatics Is Building

◆Challenges

Ensuring data quality and integrity
Improving reliability of products and systems
Incident frequency reduction
Optimizing real-time factor
Expanding sales team to meet demand
Scaling models across gpus
Speech recognition performance
Streamlining production ml pipelines
Ensuring low-latency responses
Scaling demand for software

▲Active Projects

Scalable data pipelines for high-performance ai models
Scalable web scraping solutions
Automating manual processes for self-healing
Voice ai product development to gtm
Advancing end-to-end speech models
Internal tooling for feature deployment speed
Optimizing real-time factor
Developing emotive text-to-speech models
Continuous improvement of support team methods, processes and documentation
On-call rota for out-of-hours support

Hiring Activity

Minimal25 roles · 3 in 30d

Department

Engineering

Product

Sales

Support

Finance

Research

Seniority

Mid

Senior

Lead

Staff

Junior

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About Speechmatics

Speechmatics is a UK-based speech technology company founded in 2006 that provides automatic speech recognition and voice AI analytics to enterprise customers worldwide. The platform transcribes and analyzes human speech across 50 languages in real-time and batch modes, layering on downstream capabilities like summarization, sentiment analysis, topic extraction, translation, and speaker diarization. Processing over 300 years of transcription monthly globally, the company operates distributed infrastructure across AWS, GCP, and Azure with engineering teams in Cambridge, New York, Canada, Serbia, and the United States.

HeadquartersCambridge

Company Size51–200 employees

Founded2006

Hiring MarketsUnited Kingdom, Canada, Serbia, United States

Frequently Asked Questions

What tech stack does Speechmatics use?

Core infrastructure runs on AWS, GCP, and Azure with Kubernetes/Helm orchestration. ML models built in TensorFlow and PyTorch. Data pipelines use Python, PostgreSQL, and SQL. Observability via Datadog and OpenTelemetry. CI/CD through GitLab and ArgoCD.

What is Speechmatics working on?

Active projects include scaling data pipelines for AI models, advancing end-to-end speech models, optimizing real-time latency, developing emotive text-to-speech, and automating self-healing systems. Internal focus on feature deployment tooling and ML pipeline streamlining.